Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

Gaagai, Aissam; Amir Aouissi, Hani; Bencedira, Selma; Hinge, Gilbert; Athamena, Ali; Heddam, Salim; Gad, Mohamed; Elsherbiny, Osama; Elsayed, Salah; Hamdy Eid, Mohamed; Ibrahim, Hekmat

doi:10.3390/w15020289

Public

Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

Shared by NobleBlocks on Jan 10, 2023 • 12:00 AM UTC

Authors:

Aissam Gaagai

Hani Amir Aouissi

Selma Bencedira

Abstract

In order to evaluate and project the quality of groundwater utilized for irrigation in the Sahara aquifer in Algeria, this research employed irrigation water quality indices (IWQIs), artificial neural network (ANN) models, and Gradient Boosting Regression (GBR), alongside multivariate statistical an...

Subject

Sodium adsorption ratio

Irrigation

Groundwater

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